Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …

This study assesses the outcomes of the NTIRE 2023 Challenge on Non-Homogeneous
Dehazing, wherein novel techniques were proposed and evaluated on new image dataset …

Noise introduced due to weather can reduce the efficiency of computer vision applications
as the visibility of the objects in images is greatly affected. Haze and rain are the most …

License plate recognition is a pivotal challenge in surveillance applications, predominantly
due to the low resolution and diminutive size of license plates, which impairs recognition …

Semantic segmentation based on optical images can provide comprehensive scene
information for intelligent vehicle systems, thus aiding in scene perception and decision …

Image dehazing is frequently used as a preprocessing step to enhance image clarity in
various computer vision tasks, such as object tracking, intelligent surveillance and face …

The elucidation and extrication of hair artifacts from dermoscopic images of potential skin
malignancies emerged as a paramount technique in facilitating early skin cancer detection …